the dynamics of the plankton community on lake siombak, a...
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BIODIVERSITAS ISSN: 1412-033X Volume 21, Number 8, August 2020 E-ISSN: 2085-4722 Pages: 3707-3719 DOI: 10.13057/biodiv/d210838
The dynamics of the plankton community on Lake Siombak,
a tropical tidal lake in North Sumatra, Indonesia
AHMAD MUHTADI1,, AHYAR PULUNGAN1, NURMAIYAH1, AZIZAH FADLHIN1, PUPUT MELATI1,
RENI ZULIKA SINAGA1, RAIHAN ULIYA1, MIFTAH RIZKI1, NUR ROHIM1, DAYUN IFANDA1,
RUSDI LEIDONALD1, HESTI WAHYUNINGSIH2, QADAR HASANI3
1Department of Aquatic Resources Management, Faculty of Agriculture, Universitas Sumatera Utara. Jl. Prof. A. Sofyan No. 3, Medan 20155, North
Sumatra, Indonesia. Tel./fax.: +62-61-8213236, email: [email protected] 2Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Sumatera Utara. Jl. Bioteknologi No. 1, Medan 20155, North
Sumatra, Indonesia. 3Department of Aquatic Resources, Faculty of Agriculture, Universitas Lampung. Jl. Prof. Sumantri Brojonegoro No. 1, Bandar Lampung 35145,
Lampung, Indonesia
Manuscript received: 6 June 2020. Revision accepted: 23 July 2020.
Abstract. Muhtadi A, Pulungan A, Nurmaiyah, Fadlhin A, Melati P, Sinaga RZ, Uliya R, Rizki M, Rohim N, Ifanda D, Leidonald R, Wahyuningsih H, Hasani Q. 2020. The dynamics of the plankton community on Lake Siombak, a tropical tidal lake in North Sumatra, Indonesia. Biodiversitas 21: 3707-3719. The tidal lake is a very dynamic estuary ecosystem and very vulnerable to environmental stresses and disturbances. Plankton is an aquatic organism that is very easily affected by environmental pressures and disturbances. This study aimed to reveal the phenomenon of plankton dynamics in tropical tidal lakes in Indonesia. The study was conducted at Siombak Lake from Sept 2018 toAugust 2019. Data were collected at high and low tides every month during the full month. The data analysis included plankton abundance, diversity index, and the relationship between water quality and plankton with PCA and succession analysis. The results showed that in Siombak Lake was found 66 genera which consisted of 54 phytoplankton genera and 12 zooplankton genera. Plankton abundance is higher in parts of the lake (stations 1-8) than in the river (stations 9-11) at both high and low
tide. Temporally it shows that plankton abundance is higher in the rainy season (Feb-August, outside May) than in the rainy season (Sept-Jan, and May). Spatially, plankton in Siombak Lake at high tide is more influenced by TSS, phosphate, and salinity, while at low tide, it is influenced by TSS, Water transparency, BOD, silicate, salinity, and dissolved oxygen. Temporally, plankton in Siombak Lake at high tide is more influenced by salinity, conductivity, Debit, TSS, and salinity, while at low tide, it is influenced by salinity, conductivity, turbidity, TSS, TDS, DO, BOD, and COD. Based on the plankton Frontier succession graph, it shows that Siombak Lake is included in stage 1 and stage 2. Stage 1 occurs before the rainy season (August-September) and the peak of the dry season (March-April).
Keywords: Biodiversity, coastal lake, North Sumatra, plankton, succession
INTRODUCTION
The tidal lake is a very dynamic estuary ecosystem and
is very susceptible to environmental stresses and
disturbances (Pérez-Ruzafa et al. 2011; Cutrim et al. 2019;
Torres-Bejarano et al. 2020). Its location between land and
sea is very possible to be influenced by both freshwater and
seawater (Kjerfve 1994; Pérez-Ruzafa et al. 2011; de
Barros et al. 2014; Medina-Gómez et al. 2014). This
ecosystem acts as a filter and preserves nutrients and
organic and inorganic materials despite fluctuations due to
the influence of low and high tides (Sujitha et al. 2017;
Ratnayake et al. 2018; Pérez-Ruzafa et al. 2019). Tidal lakes are very vulnerable to nutrient enrichment from
surface runoff (both fresh and seawater), groundwater, and
atmospheric sensitivity (Rodellas et al. 2018; Mentzafou
and Dimitriou 2019; Pérez-Ruzafa et al. 2019). This
nutrient enrichment creates an environmental gradient
changing the chemical and biological properties of the
lagoon directly or indirectly (Mentzafou and Dimitriou
2019; Pérez-Ruzafa et al. 2019). This will result in high
biomass accumulation and drastic changes in the structure
of the plankton food network and ecosystem function
(Hemraj et al. 2017; Bueno-Pardo et al. 2018; Cutrim et al.
2019; Pérez-Ruzafa et al. 2019; Pérez-Ruzafa et al. 2020).
Salinity and nutrient availability are considered as the
most important factors that determine the composition and
size of the phytoplankton structure (Srichandan et al. 2015;
Pratiwi et al. 2018a; Pratiwi et al. 2018b; Gamito et al.
2019; Yang et al. 2019), and also affect community
dynamics zooplankton. Salinity is a major structuring
factor that directly influences zooplankton diversity
attributes (Paturej et al. 2017). The plankton community is a biotic community that is very sensitive to the changes and
dynamics of water quality, especially nutrients, including
salinity in the estuary or coastal lagoon ecosystem.
Siombak Lake is one of the tropical tidal lakes in
Indonesia. Although it is quite far from the sea (as far as
7.5 km from the Belawan Sea, the Malacca Strait), the tidal
influence is very strong in Lake Siombak. This can be seen
from the elevation of sea levels that varies according to
tidal fluctuations in Belawan with a span of 2 hours in Lake
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Siombak (Muhtadi et al. 2017a). Lake Siombak was
originally a dredged area for the construction of the
Belawan Medan Tanjung Morawa Toll Road (Belmera) in
the mid of 1980s (Muhtadi et al. 2016). However, over
time the area was filled with water and formed a large
puddle reaching 28 hectares (Muhtadi et al. 2017a).
Furthermore, this lake developed and functioned as a
polder system or water system in the region. The polder
system is used to collect seawater during high tide so that it
can prevent flooding. Along with the increase in time by the connection through the river to the Belawan Sea, many
fish and crustaceans entered the waters of Lake Siombak.
Therefore, the tidal lake is a fishing ground for the
surrounding community (Muhtadi et al. 2016). Also, the
location of the lake that is close to the Medan city landfill,
and the circulation of lake water from Belawan waters is
very potential for the input of urban waste and the landfill.
Urban waste, especially from households, generally
contains organic material that has the potential to become
nutrients.
Various plankton studies have been carried out in lake waters, both natural and artificial lakes, such as Lake
Pondok Lapan (Muhtadi et al. 2015), Lake Toba (Rahman
et al. 2016), Lake Ebony (Pratiwi et al. 2018a), Lake
Matano (Sulawesty 2019), Lake Maninjau (Sulastri et al.
2019). Some research on estuarine and mangrove waters
has been widely carried out and reported, such as the
Mahakam Delta, East Kalimantan (Effendi et al. 2016),
Belawan Estuary (Dimenta et al. 2018), Segara Anakan,
Central Java (Dewi et al. 2019; Wiyarsih et al. 2019);
including bay and coastal waters, such as in Gorontalo Bay
(Kadim et al. 2018), Sunda Strait (Takarina et al. 2019), Banten Bay, Lampung and Jakarta (Sidabutar et al. 2016;
Damar et al. 2020). However, no research has been
reported on the dynamics of plankton in tidal lakes in
Indonesia. Meanwhile, tidal lakes abroad have been widely
reported, for example, Yewa Lagoon, Nigeria (Effiong and
Inyang 2016), Términos Lagoon, Mexico (Conan et al.
2017), Chilika Lake, India (Srichandan et al. 2015; Sahu et
al. 2016 ; Mukherjee et al. 2018), Abduş Lagoon, Turkey
(Yilmaz et al. 2018), Temperate coastal lagoon in Ria de
Aveiro, Portugal (Bueno-Pardo et al. 2018), coastal lakes in
Baltic Sea (Obolewski et al. 2018 ), a coastal lagoon in
northern Brazil (Cutrim et al. 2019), Mediterranean lake (Mentzafou and Dimitriou 2019). Therefore, this study is
the answer to the case on the characteristics of plankton
dynamics in tropical tidal lakes in Indonesia. The existence
of dynamics and changes in the composition of plankton
types due to the physical-chemical conditions of the waters
are referred to as succession (Adesalu and Nwankwo 2011;
Romagnan et al. 2015; Chen et al. 2016). The succession
shows the effect of environmental fluctuations on the
plankton community including different species and
different times (Romagnan et al. 2015; Chen et al. 2016).
Pratiwi et al. (2018a) state that succession is a change in the relative abundance of species in a community. In this
regard, research is needed to examine the relationship
between plankton succession and changes in water quality
for the benefit of Siombak Lake management. Thus, this
study aimed to (i) describe the description of the dynamics
of plankton spatially and temporally in the lake waves; (ii)
water quality characteristics that affect plankton
abundance, and (iii) provide information on the succession
of plankton that occurs in the lake of the tides.
MATERIALS AND METHODS
Study area
The study was conducted from September 2018 to
August 2019 in the Lake Siombak waters of the Medan
Marelan Sub-district, Medan City, North Sumatra
Province, Indonesia. The tools used in this study were GPS, Vandor water sampler, plankton net with a mesh size of 30
µm, pH meter, thermometer, DO meter, Secchi disk,
sample bottle, spectrophotometer, cuvette bottle,
centrifuge, vacuum pump, stationery, and laptop. The
materials used were water samples, MnSO4, H2SO4, KOH-
KI, Na2S2O3, Amylum, distilled water, duct tape, gloves,
rope, aluminum foil, acetone solution, label paper, and
tissues. Map of Research Locations can be seen in Figure 1.
Plankton identification is carried out in the Integrated
Laboratory of the Program of Aquatic Resources
Management, Faculty of Agriculture, University of Sumatera Utara, Medan, Indonesia. Water quality analysis
was carried out at Medan Environmental Health Technical
Laboratory and Medan Industrial Standardization
Laboratory, Medan City, Indonesia.
Procedures of sampling
Plankton samples were taken using a plankton net tool
vertically from a depth of 2 m that is pulled up to the
surface (Hasani et al. 2012). Filtered sample water is then
poured into a 50 ml polyethylene bottle. Furthermore, the
plankton sample was preserved with a Lugol 4% solution
and then stored in a black plastic polybag, then counted and identified. The samples taken are at high and low tide.
The physicochemical parameters measured in situ are
directly measured before taking a plankton water sample.
Water samples were taken using the Vandorn water
sampler. The measured water sample is a sample that is
mixed from the surface depth (50 cm), middle, and bottom
of the water, except the parameters of temperature, salinity,
and pH which are measured each depth of 1 m. Water
quality data measured in the laboratory were then mixed
and taken as much as 1) 500 ml (without preservatives) for
TSS samples, 2) 1000 ml for BOD, COD, NO3 samples,
total phosphate, total nitrogen, and silica (stored at 4ºC). The measurement of physical and chemical parameters of
waters refers to Rice et al. (2017).
Plankton identification
Plankton abundance was calculated using sedgewick
rafter counting (SRC) at a magnification of 10 x 40. The
enumeration was carried out using a binocular microscope
model Olympus CH-2. Phytoplankton's morphological
identification uses the reference book Pennak (1989),
Tomas (1997), Bellinger and Siegee (2010).
MUHTADI et al. – Plankton communities in tropical tidal lake
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Figure 1. Location of Siombak Lake in Medan Marelan Sub-district, Medan City, North Sumatra Province, Indonesia; point 1 (3°43'29.44"N, 98°39'29.51"E); point 2 (3°43'36.41"N, 98°39'38.01"E); point 3 (3°43'33.44"N, 98°39'45.69"E); point 4 (3°43'44.31"N, 98°39'43.47"E); point 5 (3°43'48.26"N, 98°39'37.81"E); point 6 (3°43'42.81"N, 98°39'32.69"E); point 7 (3°43'39.37"N, 98°39'37.81"E);
point 8 (3°43'39.34"N, 98°39'25.54"E); point 9 (3°43'32.92"N, 98°39'13.23"E); point 10 (3°43'46.96"N, 98°38'54.96"E); point 11 (3°43'51.95"N, 98°39'2.09"E); and the detected sites
Data analysis
Plankton abundance
Plankton abundance is expressed in cells per m3
calculated by the formula (Hasani et al. 2012):
Ni = w
1X
v
VX
p
PX
L
T
Where: N: Number of per liter plankton (cell / L for
phytoplankton and individual / L for zooplankton), and then change to cell / m3 (multiplied by 106); N: Cover glass
area (mm2); L: Wide field of view (mm2); P: number of
plankton that are chopped (cell or individual); p: Number
of a field of view observed; V: Volume of filtered plankton
sample (ml); v: Vol. plankton under the glass cover (ml);
w: Vol. filtered plankton samples (liters).
Diversity index
Succession charts can be interpreted using the Shannon
Wiener diversity index (H') of biodiversity, species
equality (E), and Simpson index (D) dominance. Shannon
Wiener's diversity index equation is as follows (Krebs 2014):
H' = - (∑ pi ln pi)
Where: H': species diversity index; ni: Number of
individuals of each species; N: Number of all individuals;
Pi: Probability is important for each species = ni / N.
Uniformity is the individual composition of each
species in a community (Krebs 2014). The uniformity
index (E) is expressed by the following equation:
E = H'/ H` max
Where: E: Shannon-Wienner uniformity index; H:
Species balance; H` max: maximum diversity index (lnS);
S: Total number of species.
The dominance index is used to obtain information
about the types of fish that dominate in a community in
each habitat. The dominance index describes the
composition of species in the community. The dominance
index is calculated according to the Simpson index (Odum
and Barrett 2005):
C = ∑ ( 2
Where: C: dominance Index; ni: The number of
individuals of each species; N: Total individual
community.
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Analysis of the relationship between phytoplankton and
water quality
The analysis of the relationship between plankton and
water quality is done by multiple regression analysis and
correlation tests. Multiple regression analysis and
correlation test use Microsoft Office Excel software
version 2016. There are 15 parameters of water quality and
added abundance of phytoplankton or zooplankton used in
looking at factors that affect the abundance of
phytoplankton and or zooplankton. The parameter selection is then performed using the lack of pit to determine what
parameters affect the abundance of phytoplankton and or
zooplankton. The lack of fit method is one way to select the
dependent factor (X) against the independent factor (Y) by
looking at the P-value in the Anova table of multiple linear
regression (Harlan 2018). P-value below 0.05, which will
be included in the factor-dependent criteria (X), affects the
independent factor (Y).
Plankton succession
The succession analysis includes determining stages by
using Frontier succession charts, diversity indexes (diversity, uniformity, and dominance), and summed
difference index (SDI). Frontier succession graph is a
temporal presentation of the value of the proportion of
species abundance and rank (Frontier 1985). Three kinds of
guideline graphs illustrate the stage, level of adaptation, or
community succession created by the rank frequency
method presented on a logarithmic scale.
Figure 2. A graph model of phytoplankton succession (Frontier 1985)
Stadia 1 describes ecosystems that are still juvenile with
pioneering communities, low biological productivity,
unstable conditions, high competition among species, low
diversity, and food web, as well as organisms in a state of
stress. Stadia 2 illustrates the status of ecosystems with
maximum diversity, high biological productivity, good
conditions, low competition among species, decreased
diversity, and complex food web. Stadia 3 is a picture of a
climax ecosystem, decreased biological productivity,
unstable conditions, competition among medium types, and complex food web.
The rate of change of phytoplankton can be determined
through the summed difference index or SDI value which
is symbolized by σs. SDI calculates phytoplankton
succession, change, or rate of succession from time to time
based on the temporal abundance of plankton data on Lake
Siombak. SDI can be calculated using the following
formula (Stander 1970):
Estimations along time intervals (William 1978) are
formulated as follows:
Where: σs: bi (t1) success rate: an abundance of the
species to-i at a time toward 1 B (t1): total abundance at a
time toward 1 bi (t2): an abundance of species toward i at a
time toward 2 B (t2): total abundance at a time toward 2 t1
and t2: toward the 1 and 2 times.
RESULTS AND DISCUSSION
The richness of plankton species
Based on the results of plankton enumeration in Lake Siombak, there were 66 genera from 10 classes consisting
of only 3 classes of phytoplankton and 7 classes of
zooplankton. There were 54 genera of phytoplankton,
while for zooplankton there were only 12 genera (Table 1).
Based on several studies in coastal lakes, including the
results of this study, the richness of plankton species in
Lake Siombak is higher than that in the Grove Bay Lagoon
(Nias, Indonesia), namely 28 genera (Hasudungan et al.
2008), a coastal lagoon in Baja California (México) there
are as many as 47 genera (Gracia-Escobar et al. 2014), In
Lake Ebony (Jakarta, Indonesia) there are 48 species (Pratiwi et al. 2018a) mainly in subtropic area; for
example, there are only 32 species in Kamil Abdus¸
Lagoon, Turkey (Yilmaz et al. 2018). However, the
richness of this species is much lower than that in Chilika
Lake, India, which reaches 233-259 genera (Srichandan et
al. 2015; Mukherjee et al. 2018), including in Yewa
Lagoon which reaches 77 genera (Effiong and Inyang
2016).
Fre
qu
ency
Rank 1 10 100
0.01
0.1
0.001
1
MUHTADI et al. – Plankton communities in tropical tidal lake
3711
Table 1. Plankton genera found in Lake Siombak, Medan, North Sumatra, Indonesia
Phytoplankton Chlorophyceae Zooplankton Bacillariophyceae Binuclearia Rhizopoda
Asterionella Chaetopeltis
Astramoeba Caloneis Chlorella Ciliata Campylodiscus Chlorosarcina
Paramecium
Chaetoceros Closteriopsis Nemata Cocconeis Closterium Criconema
Coscinodiscus Cosmarium Dorylaimus Cyclotella Cylindrocapsa Rotifera Fragillaria Cylindrocystis Brachionus Gyrosigma Eremosphaera Keratella Melosira Geminella Mikrocodides Navicula Golenkinia Cladocera Neidium Hyalotheca
Bosmina
Nitzschia Oocardium Copepoda
Peronia Oocystis Bryocamptus Pinnularia Palmodictyon Cyclops Stauroneis Pediastrum Diaptomus Stephanodiscus Phymatodocis Ergasilidae Surirella Planktosphaeria
Ergasilus
Synedra Prasiola Tabellaria Scenedesmus Tetracyclus Sirogonium Trigonium Sphaeroplea
Dinophyceae Spinoclosterium Ceratium Stigeoclonium Dinopodiella Trochiscia Glenodinium Ulothrix Gonyaulax Zygnema
Figure 2. The abundance and richness of plankton spatially in Lake Siombak, Medan, North Sumatra, Indonesia. Note: A, E: phytoplankton at high tide; B, F: phytoplankton at low tide; C, G: zooplankton at low tide; D, H: zooplankton at high tide
Spatial distribution
Spatially, plankton is higher in lakes (station 1-8) than
in rivers (station 9-11) at both low and high tides. The
highest abundance of plankton at high tide reaches 18.61
million cells/m3 at station 1, consisting of 15.09 million
cells/m3 phytoplankton (81.11%) and 3.51 61 million individual/m3 (18.89%) zooplankton. At low tide, the
highest abundance of plankton at station 3 reaches 18.20
million cells/m3, consisting of 12.48 million cells/ m3
(76.91%) phytoplankton and 3.74 million individual/m3
(23.09%) zooplankton. The lowest abundance of plankton
at high tide at station 11 is 6.27 million cells/m3, consisting
of 88.72% phytoplankton and 11.28% zooplankton and at
low tide, there are 4.20 million cells/m3 at station 9,
consisting of 75.75% phytoplankton and 24.25%
zooplankton. Thus, spatially the average abundance of
phytoplankton and zooplankton is higher at high tide than that at low tide. However, the proportion of zooplankton
with phytoplankton is higher at low tide (an average of
24.37%) than that at high tide (an average of 17.24%).
Plankton mostly found is from the class of
Chlorophyceae, that is, as many as 28 genera, and then it is
BIODIVERSITAS 21 (8): 3707-3719, August 2020
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followed by the class of Bacillariophyceae found as many
as 22 genera (Table 1). The class of Chlorophyceae found
reaches 69-87% (Figures 3 and 5). The number of genera
found from those classes is because Chlorophyceae has a
high tolerance and generally they are lake plankton
composers. Based on some research, Chlorophyceae class
can be found mostly in lake waters (Giripunje et al. 2013;
Muhtadi et al. 2015; Öterler 2018), including in a coastal or
brackish lake (Nassar and Gharib 2014; Pratiwi et al.
2018a), estuaries (Dewi et al. 2019; Yang et al. 2019). However, Obolewski et al. (2018) and Cardoso et al.
(2019) found that plankton in a coastal lake which lacks
nutrient is dominated by Cyanobakteri reaching until 80%.
Nonetheless, in coastal lakes that tend to be saltier
phytoplankton is generally dominated by Bacillariopyceae
(Onyema 2008; Srichandan et al. 2015; Mukherjee et al.
2018; Yilmaz et al. 2018; Cutrim et al. 2019) and
Dinophyceae (Hasudungan et al. 2008), including in
coastal waters (Ajibare et al. 2019). In very dynamic waters
such as an estuary, Yang et al. (2019) found varied
plankton dynamics in which the Chlorophyta and the Bacillariophyta were high during spring, and Cyanophyta
was high during summer in Estuary Reservoir in the
Yangtze River, China.
Temporal distribution
Temporally, the highest plankton is found in April
when at high tides it reaches 20.63 million cells/m3
consisting of 17.01 million cells/m3 phytoplankton
(82.45%) and 3.62 individual/m3 zooplankton (17.55%). At
low tides, the highest abundance happens in March which
reaches 14.10 cells/m3 consisting of 8.03 cells/m3
phytoplankton (57.01%) and 6.06 individual/m3 zooplankton (42.99%), while the lowest abundance
happens in November at high tides and in May at low tides.
The lowest abundance reaches 6.61 cells/L (76.09% Phyto
and 23.91% zoo) respectively and 4.80 cells/L (92.78%
Phyto and 7.22% zoo). Like spatially, temporally the
average abundance of phytoplankton and zooplankton is
higher during high tides than that during low tides.
However, the proportion of zooplankton with
phytoplankton is higher during low tides (an average of
24.16%) than that during high tides (an average of
20.13%).
A B
Figure 3. Composition of plankton abundance spatially in Lake Siombak, Medan, North Sumatra, Indonesia. A. High tide, B. Low tide
Figure 4. Temporal abundance and richness of plankton in Lake Siombak, Medan, North Sumatra, Indonesia. Note: A, E: Phytoplankton at high tide; B, F: Phytoplankton at low tide; C, G: Zooplankton at low tide; D, H: Zooplankton at high tide
MUHTADI et al. – Plankton communities in tropical tidal lake
3713
A B
Figure 5. The composition of temporal plankton abundance in Lake Siombak, Medan, North Sumatra, Indonesia. A. High tide, B. Low tide
Diversity index
Based on the analysis of the plankton community
structure at each station, this shows variations both spatially and temporally (Table 2-3). This is consistent with
spatial and temporal variations in the abundance and
composition of plankton species in Lake Siombak (Figure
2-4). Although the abundance of chopped phytoplankton is
highest at stations 1 and 3 (high and low tides), high
diversity is found at stations 4 and 5 (low tides) and 8 and 9
(high tides). This is because the proportion of species is
more evenly distributed at stations 4 and 5 (low tides) and
8 and 9 (high tides). This was explained by Muhtadi et al.
(2015; 2017b) that the proportion of species in a
community is very influential on the diversity index compared to its abundance.
Likewise temporarily, during dry season phytoplankton
is significantly abundant, but high diversity is precisely in
the rainy season. This is because the proportion of species
in the rainy season is more even than that in the dry season.
Besides, it can be seen in Figure 2 on the right that the
number of species found in the rainy season is more than
that in the dry season. Based on Table 2-3, it can be said that diversity is higher at low tide than that at high tide. In
this case, it is inversely proportional to the high abundance
at high tide compared to that at low tide.
Based on this diversity index, it shows that Lake
Siombak is considered to have high diversity with an H '
value of 3.27. Pratiwi et al. (2018a) state that it is with a
very high abundance in Lake Ebony with a value of H'
1.32-2.08, including other coastal lakes in Yewa Lagoon
(Nigeria) ranging from 1.09-1.95 (Effiong and Inyang,
2016). The high diversity in Lake Siombak causes the
absence of dominant genera. This can be seen from the low dominance index. The dominance index value in Lake
Siombak only ranges between 0.07-0.22 (<0.3). This is also
supported by a fairly high uniformity value ranging from
0.67-0.86 (> 0.5). Odum and Barrett (2005) states that the
value of dominance will be below if it has high diversity.
Table 2. Diversity index of plankton spatially
Index Tide Locations
1 2 3 4 5 6 7 8 9 10 11
Phytoplankton Diversity index (H') HT 2.37 2.58 2.59 2.13 2.41 2.42 2.44 2.94 2.94 2.92 2.59
LT 2.88 2.52 2.34 3.24 3.27 2.62 2.71 2.93 2.75 2.92 2.50
Evenness index (E) HT 0.67 0.70 0.68 0.61 0.66 0.67 0.65 0.79 0.79 0.80 0.69 LT 0.74 0.69 0.62 0.86 0.86 0.73 0.75 0.81 0.77 0.81 0.67
Dominance index (C) HT 0.17 0.14 0.16 0.27 0.19 0.17 0.19 0.11 0.11 0.11 0.19 LT 0.11 0.18 0.19 0.06 0.05 0.17 0.13 0.09 0.12 0.07 0.22
Zooplankton Diversity index (H') HT 1.26 1.24 1.21 1.21 1.20 1.42 1.19 1.19 1.05 0.93 1.27
LT 1.33 1.50 1.32 1.11 1.34 1.12 1.32 1.30 1.26 1.25 1.06
Evenness index (E) HT 0.60 0.59 0.55 0.58 0.55 0.68 0.54 0.74 0.65 0.52 0.61 LT 0.60 0.62 0.63 0.62 0.75 0.58 0.68 0.67 0.65 0.70 0.59
Dominance index (C) HT 0.36 0.30 0.36 0.36 0.39 0.25 0.39 0.21 0.33 0.47 0.31
LT 0.35 0.27 0.33 0.39 0.38 0.39 0.36 0.30 0.26 0.25 0.39
Note: HT: Hight tide; LT: Low Tide
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Table 3. Diversity index of plankton temporally
Index Tide Month
Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug
Phytoplankton Diversity index (H') HT 1.82 2.41 2.47 2.48 2.42 2.51 2.07 2.03 2.35 2.42 2.36 1.83
LT 1.86 2.82 2.91 2.91 2.87 2.83 2.85 2.71 2.82 2.76 2.77 1.79
Evenness index (E) HT 0.52 0.64 0.66 0.66 0.65 0.71 0.55 0.55 0.65 0.69 0.62 0.53
LT 0.53 0.74 0.76 0.76 0.75 0.78 0.76 0.74 0.75 0.76 0.76 0.52
Dominance index (C) HT 0.36 0.23 0.22 0.22 0.21 0.14 0.32 0.33 0.22 0.15 0.21 0.35
LT 0.35 0.12 0.11 0.11 0.12 0.09 0.13 0.16 0.11 0.10 0.12 0.37
Zooplankton Diversity index (H') HT 1.29 0.99 0.98 0.94 0.99 1.15 1.23 1.04 0.94 1.10 1.02 1.12
LT 1.13 1.10 1.08 1.16 1.12 1.10 1.04 1.08 1.12 1.05 1.05 1.08 Evenness index (E) HT 0.62 0.51 0.51 0.48 0.48 0.59 0.59 0.54 0.53 0.56 0.52 0.54
LT 0.58 0.56 0.55 0.56 0.54 0.61 0.47 0.49 0.58 0.59 0.54 0.60 Dominance index (C) HT 0.34 0.44 0.44 0.45 0.44 0.39 0.37 0.43 0.45 0.40 0.45 0.41
LT 0.39 0.42 0.42 0.40 0.41 0.41 0.48 0.42 0.40 0.41 0.44 0.40
Note: HT: Hight tide; LT: Low Tide
Meanwhile zooplankton diversity in Lake Siombak ranges between 0.93-1.42 at high tides and 1.06 -1.50 at
low tides. Just like phytoplankton, zooplankton diversity is
higher at low tide than that at high tide. Zooplankton
diversity is lower than phytoplankton due to the high
abundance and richness of phytoplankton species (a total of
54 genera) compared to zooplankton (12 genera).
The relationship of environmental conditions with the
plankton community
The results of multiple linear regression analysis show
that both spatial and temporal environmental conditions
that affect the abundance of phytoplankton and zooplankton during high tides and low tides are not the
same. Spatially, the tidal abundance of phytoplankton is
influenced by the value of TSS and phosphate and
zooplankton abundance (R square value reaching 0.95 with
a correlation value of 0.98). This shows that the abundance
of phytoplankton is highly dependent on the parameters of
TSS, water transparency, phosphate, and abundance of
zooplankton, in which the three parameters explain 95% of
the actual situation. This value strongly illustrates the true
condition with an R square value above 85%. Meanwhile,
at low tide, the abundance of phytoplankton was affected
by TSS, water transparency, BOD, and silica with an R square value of 0.97 and a correlation value of 0.95. Waya
et al. (2017) found that transparency significant effect on
the abundance of plankton in the lake Lake Victoria,
Tanzania. Furthermore, Takarina et al. (2019) also found a
strong relationship between phytoplankton and the intensity
of sunlight and nutrients in the coastal waters of Banten.
Thus, both the tides and ebb abundance of phytoplankton
are influenced by the presence of sunlight and nutrients.
The results of Flöder et al. (2002) and Charalampous et al.
(2018) found that sunlight entering the waters greatly
affected the phytoplankton community. Furthermore, according to Wetzel (2001) and Odum and Barrett (2005),
the availability of nutrients in waters is a limiting factor for
the growth of autotrophic organisms. Furthermore, Filippino et al. (2011); Qurban et al. (2017), the most
influential nutrients on the growth and development of
plankton are nitrogen (NO3) and phosphorus (PO4),
including total nitrogen and silicates in estuarine exposure
(Wu and Chou 2003; Örnólfsdóttir et al. 2004; Barrera-
Alba and Moser 2016).
Spatially, the abundance of zooplankton at high tide is
influenced by TSS, salinity, and abundance of zooplankton
(R Square value reaches 0.91 with a correlation value of
0.95). At low tide, the abundance of zooplankton is
affected by salinity, phytoplankton, and DO (R square values reach 0.80 and correlation values 0.90). In contrast
to phytoplankton that requires sunlight and nutrients for
growth, zooplankton requires phytoplankton as a food
source and salinity conditions where the waters of the wave
lake have fluctuations in salinity both spatially and
temporally. The results of Almeida et al. (2012) shows that
salinity impacts the horizontal distribution of zooplankton
in an estuarine lagoon in Northeast Brazil, including in the
Northern Kerala estuary, India (Jeyaraj et al. 2014) and the
waters of the Bonang estuary, Demak (Yudhatama et al.
2019) and waters Banten Pandeglang beach (Takarina et al.
2019). Related to phytoplankton as a food source of zooplankton, Mialet et al. (2011) obtained the results of a
study that showed that the abundance of zooplankton in
water was greatly affected by the abundance of
phytoplankton in the fair. The results of multiple regression
analyzes of phytoplankton abundance with environmental
conditions at spatial tides and ebbs are presented in Tables
4 and 5.
Temporally, the abundance of phytoplankton is affected
by the salinity and conductivity at both high and low tides
as well as discharge at high tides and COD and turbidity at
low tides. Both coefficients of determination (R Square) are also very high, reaching 0.96 at high tide which means
the parameters of salinity, conductivity, and discharge
describe the actual conditions of 96% with a strong
MUHTADI et al. – Plankton communities in tropical tidal lake
3715
correlation value reaching 0.98. At low tide, the effect of
conductivity, turbidity, and COD is lower than the tide that
is equal to 0.87 with R Square of 0.76. Meanwhile,
zooplankton abundance at high tide was influenced by
TSS, salinity, discharge, and the abundance of
phytoplankton with R Square reached 0.85 and the
correlation value was 0.92. At low tide the abundance of
zooplankton is influenced by many factors namely salinity,
DO, TDS, TSS, conductivity, turbidity, BOD, and COD
with R Square value and a very strong correlation value of 0.99.
Temporally, plankton regression analysis with water
quality, shows that salinity has a strong influence on the
presence of phytoplankton and zooplankton. Even
zooplankton, both spatially and temporally shows that
salinity has a strong influence on the abundance of
zooplankton. This can be seen in Tables 6 and 7 that both
the spatial and temporal parameters of salinity consistently
exert influence on the abundance of zooplankton. This is
according to the research of Almeida et al. (2012), Jeyaraj
et al. (2014), and Takarina et al. (2019) which shows the
effect of salinity on the distribution and abundance of
zooplankton in waters.
In contrast to spatial, temporally shows that there is an
influence of incoming water discharge on the abundance of phytoplankton and zooplankton in the lake waves. This is
related to the mass of water that enters the lake which can
carry phytoplankton from the sea or river. Pereira et al.
(2005) explains that current and discharge can affect
plankton abundance in estuary waters.
Table 4. Spatially, multiple regression analysis of phytoplankton abundance with environmental parameters at high tide
Parameters High tide
Parameters Low tide
Coefficients P-value Coefficients Coefficients
Intercept 2,788,230.6463 0.0304 Intercept -976,556.8031 0.7364
TSS -66,918.6746 0.0344 TSS 243,606.4718 0.0145 Water transparency 173,344.8516 0.0286 Water transparency 221,250.8650 0.0006 Phosphate 1,517,923.4061 0.0204 BOD -172,526.3555 0.0077 Zooplankton 2.9252 0.0003 Silicate 371,654.0463 0.0051 F 29.4815 F 41.3886 Significance F 0.0004 Significance F 0.0002
Table 5. Spatially, multiple regression analysis of zooplankton abundance with environmental parameters at low tide
Parameters High tide
Parameters Low tide
Coefficients P-value Coefficients Coefficients
Intercept 1,648,632.2739 0.0792 Intercept -6,248,970.3718 0.0120 TSS 18,585.8308 0.0138 Salinity 484,763.6341 0.0066 Salinity -297,326.3256 0.0136 Phytoplankton 0.2689 0.0047 Phytoplankton 0.2088 0.0018 DO 1,168,982.7483 0.0359
F 8.2535 F 9.5497
Significance F 0.0078 Significance F 0.0072
Table 6. Temporally, multiple regression analysis of phytoplankton abundance with environmental parameters at high tide
Parameters High tide
Parameters Low tide
Coefficients P-value Coefficients P-value
Intercept -1,704,315.8045 0.1357 Intercept 10,323,813.9634 0.0000 Salinity 877,314.8664 0.0003 Conductivity -467,011.9972 0.0112 Conductivity 444,179.8152 0.0008 Turbidity -2,995.9456 0.0019 Debit -48,908.2410 0.0225 COD 6,954.6093 0.0042
F 74.0699 F 18.0072 Significance F 0.000004 Significance F 0.0011
BIODIVERSITAS 21 (8): 3707-3719, August 2020
3716
Table 7. Temporally, multiple regression analysis of zooplankton abundance with environmental parameters at low tide
Parameters High tide
Parameters Low tide
Coefficients P-value Coefficients Coefficients
Intercept 279,784.0119 0.5140 Intercept -9,165,839.7730 0.0156 TSS 11,215.0259 0.0457 Salinity -380,425.3136 0.0315 Debit 30,325.8815 0.0052 DO 754,499.8508 0.0143 Phytoplankton 0.2866 0.0117 TDS -479.7693 0.0309
Salinity -287,488.0486 TSS 98,764.3416 0.0048 Conductivity 1,558,099.8012 0.0099 Turbidity 2,811.3140 0.0147 BOD 30,806.2025 0.0112
COD -13,687.3707 0.0115
F 9.5835 F 50.6089 Significance F 0.0057 Significance F 0.0041
Figure 8. Frontier graph of phytoplankton (left) and zooplankton (right) succession
Plankton succession
Based on the plankton Frontier succession graph, it
shows that Lake Siombak is included in stage 1 and stage
2, as shown in Figure 8. Stadia 1 in Frontier succession is
found in phytoplankton during the rainy season (August-
September) and the peak of the dry season (March-April).
Stadia 1 is characterized by unstable water conditions with
high type of competition (Frontier 1985). Lake Siombak is
a very dynamic lake whose waters condition changes
according to daily tidal dynamics. Thus, the characteristics
of the waters change based on the tidal cycle, especially
salinity and other organic matter (Muhtadi et al. 2017). In the rainy season (phytoplankton) and the succession of
zooplankton include stadia 2 which is characterized by
more stable water conditions with maximum diversity, high
biological productivity, good conditions, low competition
among species, and decreased diversity (Frontier 1985).
The change of stadia 1 to Stadia 2 on the phytoplankton
succession chart shows differences in diversity, diversity,
and productivity from phytoplankton. This can be seen
from the low succession rate in the rainy season (Sept-Jan)
ranging between 0.49-0.55 and high in the dry season (Feb-
Jun) which is 1.87-4.26, as shown in Figure 9.
Furthermore, the succession rate is then associated with
SIMI (Stander's similarity index) which indicates the
similarity among research times. It can be seen in the graph
that when the succession rate at tn and tn+ 1 approaches
maximum (value 1) (except the dry season), then the
similarity value of the presence of plankton between the two times is high close to 1. When the lowest succession
rate value is 0.49, it appears that the value SIMI reaches 4.
When the highest succession rate value is 4.26, the SIMI
value approaches 0, which is 0.13.
MUHTADI et al. – Plankton communities in tropical tidal lake
3717
Figure 9. SIMI chart and succession rate of plankton in Lake Siombak, Medan, North Sumatra, Indonesia
Based on the above explanation, it shows that if the
succession rate is high, then the SIMI value will be low,
and vice versa. A SIMI value close to 1 indicates that the
similarity is in a maximum state with a succession rate of
0.49, indicating that the motion or change between tn and
tn+ 1 is small. Conversely, the SIMI value is close to 0,
indicating that similarity is in a minimum state with a high
succession rate up to 4.26 which indicates that the
movement of changes between tn and tn+ 1 is very large. When viewed from the abundance and number of types of
phytoplankton in tn and tn+ 1, the value is quite different.
Discussion
The abundance of plankton in Lake Siombak is still
lower than in other brackish/coastal lakes in Indonesia,
where Hasudungan et al. (2008) found a high abundance up
to 33 million cells/m3 in the Grove Bay Lagoon, Nias;
Pratiwi et al. (2018a) even found the abundance of
phytoplankton alone up to 1800 million cells/m3 in Lake
Ebony, Jakarta. However, the abundance of plankton in
Lake Siombak is still lower than that in Lake Chilika (India) which only reaches 2.3 million cells/m3 (Srichandan
et al. 2015). This very significant difference is caused by
various things including the availability of nutrients in the
form of NP ratio (Conan et al. 2017; Gamito et al. 2019;
Gophen 2019; Yang et al. 2019), including the availability
of ammonia (Pratiwi et al. 2018a), temperature and salinity
(Srichandan et al. 2015; Pratiwi et al. 2018a; Yang et al.
2019), and the availability of light (Yang et al. 2019). Even
Obolewski et al. (2018) and Gophen (2019) state that the
residence time is the main key in controlling the dynamics
of phytoplankton, while the dynamics of zooplankton itself
is strongly influenced by temperature, salinity, and pH (Paturej et al. 2017)
Geminella (phytoplankton) and Diaptomus
(zooplankton) are plankton that is always found at each
station with an average abundance of 2,626,137.74 million
cells/m3 (25.15%) and 917,597.80 million cells/m3
(8.82%). Other genera that are always found and abundant
in the wave lake are Trochiscia and Planktosphaeria from
the phytoplankton group and Brachionus and Cyclops from
zooplankton. In the saltier coastal lakes (salinity> 25 ppt),
Peridinium and Chaetoceros (Phytoplankton) and Cyclops
are very dominant in the Grove Bay (Hasudungan et al.
2008), while in the tastier coastal lakes (salinity <5 ppt),
Merismopedia sp. and Cyclotella sp. are more dominant in
Lake Ebony (Pratiwi et al. 2018a). In this lake, the range of
salinity ranges from 5-15 ppt (Muhtadi et al. 2016).
Overall during both low and high tides the abundance
of phytoplankton was higher than that of zooplankton.
Phytoplankton abundance reaches 64.35% -90.77% with an average of 79.19% compared to zooplankton abundance.
The amount of zooplankton found was on average 20.81%
of the total plankton that was chopped. This is not only
because the collection was carried out during the day but
also the depth has taken was in the zone of high sunlight
penetration. Zooplanktons that have high abundance are
Copepod (Diaptomus and Cyclops), Rotifer (Brachionus),
and Cladocera (Bosmina). These three groups were also
found in all observation stations. This is because these
types of zooplankton have a wide distribution in the aquatic
environment and can live in various types of water (Mirón et al. 2014; Sahu et al. 2016; Gamito et al. 2019).
Temporally it shows that plankton abundance is higher
in the rainy season (Feb-Aug, excluding May) than in the
dry season (Sep-Jan, and May) (Figure 4). The same thing
was obtained by Pratiwi et al. (2018a) where the highest
abundance of phytoplankton is in the dry season as
obtained by Pratiwi et al. (2018a). Although the nutrient is
lower in the dry season, the plankton abundance is high at
that time. This shows that the nutrient is not a limiting
factor in Lake Siombak because of its high availability in
water.
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